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Top 50 Python Libraries to Know in 2025

Analytics Vidhya

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease.

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Beginner’s Guide to Machine Learning with Python

KDnuggets

Master the Fundamentals of Predictive Modeling with Python: An In-Depth Guide to Machine Learning Algorithms and Sci-kit Learn Implementation.

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10 Must-Know Python Libraries for Machine Learning in 2024

Machine Learning Mastery

As we progress through 2024, machine learning (ML) continues to evolve at a rapid pace. Python, with its rich ecosystem of libraries, remains at the forefront of ML development.

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Python Square Root

Analytics Vidhya

Whether you’re involved in an experiment, simulations, data analysis or using machine learning, calculating square roots in Python is crucial. In this guide, you […] The post Python Square Root appeared first on Analytics Vidhya.

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TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning

Analytics Vidhya

In the recent world of technology development and machine learning its no longer confined in the micro cloud but in mobile devices. TensorFlow Lite and PyTorch mobile, both, are developed to […] The post TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning appeared first on Analytics Vidhya.

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Python libraries for generative AI 

Data Science Dojo

This is done by training machine learning models on large datasets of existing content, which the model then uses to generate new and original content. Want to build a custom large language model ? Here are 10 of the top Python libraries for generative AI: 1. Check out our in-person LLM bootcamp.

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Discover the power of Python for data science: A 6-step roadmap for beginners

Data Science Dojo

Python has become a popular programming language in the data science community due to its simplicity, flexibility, and wide range of libraries and tools. By learning Python, you can effectively clean and manipulate data, create visualizations, and build machine-learning models.